




import math
import time

from transformers import Trainer, is_torch_tpu_available
from transformers.trainer_utils import PredictionOutput, speed_metrics


if is_torch_tpu_available(check_device=False):
						import torch_xla.core.xla_model as xm
						import torch_xla.debug.metrics as met







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def __init__(			self      ,*snake_case__      ,snake_case__=None      ,snake_case__=None      ,**snake_case__ ):
							super().__init__(*snake_case__      ,**snake_case__ )
							SCREAMING_SNAKE_CASE_   : int					  =      eval_examples
							SCREAMING_SNAKE_CASE_   : Dict					  =      post_process_function






				def 		snake_case	(			self      ,snake_case__=None      ,snake_case__=None      ,snake_case__=None      ,snake_case__ = "eval" ):
							SCREAMING_SNAKE_CASE_   : List[str]					  =      self.eval_dataset if eval_dataset is None else eval_dataset
							SCREAMING_SNAKE_CASE_   : str					  =      self.get_eval_dataloader(snake_case__ )
							SCREAMING_SNAKE_CASE_   : int					  =      self.eval_examples if eval_examples is None else eval_examples

							# Temporarily disable metric computation, we will do it in the loop here.
							SCREAMING_SNAKE_CASE_   : List[Any]					  =      self.compute_metrics
							SCREAMING_SNAKE_CASE_   : Dict					  =      None
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      self.prediction_loop if self.args.use_legacy_prediction_loop else self.evaluation_loop
							SCREAMING_SNAKE_CASE_   : List[str]					  =      time.time()
							try:
										SCREAMING_SNAKE_CASE_   : Dict					  =      eval_loop(
										    snake_case__      ,description='Evaluation'      ,prediction_loss_only=True if compute_metrics is None else None      ,ignore_keys=snake_case__      ,metric_key_prefix=snake_case__      ,)
							finally:
										SCREAMING_SNAKE_CASE_   : Any					  =      compute_metrics
							SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      self.args.eval_batch_size * self.args.world_size
							if F'{metric_key_prefix}_jit_compilation_time' in output.metrics:
										start_time += output.metrics[F'{metric_key_prefix}_jit_compilation_time']
							output.metrics.update(
							    speed_metrics(
							        snake_case__      ,snake_case__      ,num_samples=output.num_samples      ,num_steps=math.ceil(output.num_samples / total_batch_size )      ,) )
							if self.post_process_function is not None and self.compute_metrics is not None and self.args.should_save:
										# Only the main node write the results by default
										SCREAMING_SNAKE_CASE_   : int					  =      self.post_process_function(snake_case__      ,snake_case__      ,output.predictions )
										SCREAMING_SNAKE_CASE_   : Tuple					  =      self.compute_metrics(snake_case__ )

										# Prefix all keys with metric_key_prefix + '_'
										for key in list(metrics.keys() ):
													if not key.startswith(F'{metric_key_prefix}_' ):
																SCREAMING_SNAKE_CASE_   : List[Any]					  =      metrics.pop(snake_case__ )
										metrics.update(output.metrics )
							else:
										SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      output.metrics

							if self.args.should_log:
										# Only the main node log the results by default
										self.log(snake_case__ )

							if self.args.tpu_metrics_debug or self.args.debug:
										# tpu-comment: Logging debug metrics for PyTorch/XLA (compile, execute times, ops, etc.)
										xm.master_print(met.metrics_report() )

							SCREAMING_SNAKE_CASE_   : Dict					  =      self.callback_handler.on_evaluate(self.args      ,self.state      ,self.control      ,snake_case__ )
							return metrics






				def 		snake_case	(			self      ,snake_case__      ,snake_case__      ,snake_case__=None      ,snake_case__ = "test" ):
							SCREAMING_SNAKE_CASE_   : Dict					  =      self.get_test_dataloader(snake_case__ )

							# Temporarily disable metric computation, we will do it in the loop here.
							SCREAMING_SNAKE_CASE_   : int					  =      self.compute_metrics
							SCREAMING_SNAKE_CASE_   : List[Any]					  =      None
							SCREAMING_SNAKE_CASE_   : List[Any]					  =      self.prediction_loop if self.args.use_legacy_prediction_loop else self.evaluation_loop
							SCREAMING_SNAKE_CASE_   : Tuple					  =      time.time()
							try:
										SCREAMING_SNAKE_CASE_   : Tuple					  =      eval_loop(
										    snake_case__      ,description='Prediction'      ,prediction_loss_only=True if compute_metrics is None else None      ,ignore_keys=snake_case__      ,metric_key_prefix=snake_case__      ,)
							finally:
										SCREAMING_SNAKE_CASE_   : Dict					  =      compute_metrics
							SCREAMING_SNAKE_CASE_   : int					  =      self.args.eval_batch_size * self.args.world_size
							if F'{metric_key_prefix}_jit_compilation_time' in output.metrics:
										start_time += output.metrics[F'{metric_key_prefix}_jit_compilation_time']
							output.metrics.update(
							    speed_metrics(
							        snake_case__      ,snake_case__      ,num_samples=output.num_samples      ,num_steps=math.ceil(output.num_samples / total_batch_size )      ,) )

							if self.post_process_function is None or self.compute_metrics is None:
										return output

							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      self.post_process_function(snake_case__      ,snake_case__      ,output.predictions      ,'predict' )
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      self.compute_metrics(snake_case__ )

							# Prefix all keys with metric_key_prefix + '_'
							for key in list(metrics.keys() ):
										if not key.startswith(F'{metric_key_prefix}_' ):
													SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      metrics.pop(snake_case__ )
							metrics.update(output.metrics )
							return PredictionOutput(predictions=predictions.predictions      ,label_ids=predictions.label_ids      ,metrics=snake_case__ )





from __future__ import annotations

lowercase    :   Dict						=			tuple[int, int, int]
lowercase    :   List[str]						=			tuple[str, str, str]


# used alphabet --------------------------
# from string.ascii_uppercase
lowercase    :   int						=			'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# -------------------------- default selection --------------------------
# rotors --------------------------
lowercase    :   Optional[int]						=			'EGZWVONAHDCLFQMSIPJBYUKXTR'
lowercase    :   Optional[Any]						=			'FOBHMDKEXQNRAULPGSJVTYICZW'
lowercase    :   str						=			'ZJXESIUQLHAVRMDOYGTNFWPBKC'
# reflector --------------------------
lowercase    :   Tuple						=			{
    'A': 'N',
    'N': 'A',
    'B': 'O',
    'O': 'B',
    'C': 'P',
    'P': 'C',
    'D': 'Q',
    'Q': 'D',
    'E': 'R',
    'R': 'E',
    'F': 'S',
    'S': 'F',
    'G': 'T',
    'T': 'G',
    'H': 'U',
    'U': 'H',
    'I': 'V',
    'V': 'I',
    'J': 'W',
    'W': 'J',
    'K': 'X',
    'X': 'K',
    'L': 'Y',
    'Y': 'L',
    'M': 'Z',
    'Z': 'M',
}

# -------------------------- extra rotors --------------------------
lowercase    :   Optional[int]						=			'RMDJXFUWGISLHVTCQNKYPBEZOA'
lowercase    :   List[Any]						=			'SGLCPQWZHKXAREONTFBVIYJUDM'
lowercase    :   Dict						=			'HVSICLTYKQUBXDWAJZOMFGPREN'
lowercase    :   List[Any]						=			'RZWQHFMVDBKICJLNTUXAGYPSOE'
lowercase    :   Optional[Any]						=			'LFKIJODBEGAMQPXVUHYSTCZRWN'
lowercase    :   Tuple						=			'KOAEGVDHXPQZMLFTYWJNBRCIUS'




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     RotorPositionT		,    _lowerCamelCase					:     RotorSelectionT		,    _lowerCamelCase					:     str)   ->       tuple[RotorPositionT, RotorSelectionT, dict[str, str]]:






							'''simple docstring'''





							if (unique_rotsel := len(set(_lowerCamelCase))) < 3:
														__UpperCamelCase      :  Tuple       =   F'Please use 3 unique rotors (not {unique_rotsel})'
														raise Exception(_lowerCamelCase)

							# Checks if rotor positions are valid
							__UpperCamelCase  ,		__UpperCamelCase  ,		__UpperCamelCase      :  str       =   rotpos
							if not 0 < rotorposa <= len(_lowerCamelCase):
														__UpperCamelCase      :  Union[str, Any]       =   F'First rotor position is not within range of 1..26 ({rotorposa}'
														raise ValueError(_lowerCamelCase)
							if not 0 < rotorposa <= len(_lowerCamelCase):
														__UpperCamelCase      :  int       =   F'Second rotor position is not within range of 1..26 ({rotorposa})'
														raise ValueError(_lowerCamelCase)
							if not 0 < rotorposa <= len(_lowerCamelCase):
														__UpperCamelCase      :  List[Any]       =   F'Third rotor position is not within range of 1..26 ({rotorposa})'
														raise ValueError(_lowerCamelCase)

							# Validates string and returns dict
							__UpperCamelCase      :  str       =   _plugboard(_lowerCamelCase)

							return rotpos, rotsel, pbdict




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     str)   ->       dict[str, str]:






							'''simple docstring'''





							if not isinstance(_lowerCamelCase		,    _lowerCamelCase):
														__UpperCamelCase      :  Union[str, Any]       =   F'Plugboard setting isn\'t type string ({type(_lowerCamelCase)})'
														raise TypeError(_lowerCamelCase)
							elif len(_lowerCamelCase) % 2 != 0:
														__UpperCamelCase      :  int       =   F'Odd number of symbols ({len(_lowerCamelCase)})'
														raise Exception(_lowerCamelCase)
							elif pbstring == "":
														return {}

							pbstring.replace(" "		,    "")

							# Checks if all characters are unique
							__UpperCamelCase      :  Optional[int]       =   set()
							for i in pbstring:
														if i not in abc:
																					__UpperCamelCase      :  Tuple       =   F'\'{i}\' not in list of symbols'
																					raise Exception(_lowerCamelCase)
														elif i in tmppbl:
																					__UpperCamelCase      :  Tuple       =   F'Duplicate symbol ({i})'
																					raise Exception(_lowerCamelCase)
														else:
																					tmppbl.add(_lowerCamelCase)
							del tmppbl

							# Created the dictionary
							__UpperCamelCase      :  Union[str, Any]       =   {}
							for j in range(0		,    len(_lowerCamelCase) - 1		,    2):
														__UpperCamelCase      :  Union[str, Any]       =   pbstring[j + 1]
														__UpperCamelCase      :  str       =   pbstring[j]

							return pb




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     str		,    _lowerCamelCase					:     RotorPositionT		,    _lowerCamelCase					:     RotorSelectionT = (rotora, rotora, rotora)		,    _lowerCamelCase					:     str = ""		,    )   ->       str:






							'''simple docstring'''





							__UpperCamelCase      :  List[Any]       =   text.upper()
							__UpperCamelCase  ,		__UpperCamelCase  ,		__UpperCamelCase      :  Optional[int]       =   _validator(
							    _lowerCamelCase		,    _lowerCamelCase		,    plugb.upper())

							__UpperCamelCase  ,		__UpperCamelCase  ,		__UpperCamelCase      :  Tuple       =   rotor_position
							__UpperCamelCase  ,		__UpperCamelCase  ,		__UpperCamelCase      :  List[Any]       =   rotor_selection
							rotorposa -= 1
							rotorposa -= 1
							rotorposa -= 1

							__UpperCamelCase      :  List[str]       =   []

							# encryption/decryption process --------------------------
							for symbol in text:
														if symbol in abc:
																					# 1st plugboard --------------------------
																					if symbol in plugboard:
																												__UpperCamelCase      :  Dict       =   plugboard[symbol]

																					# rotor ra --------------------------
																					__UpperCamelCase      :  Optional[int]       =   abc.index(_lowerCamelCase) + rotorposa
																					__UpperCamelCase      :  List[Any]       =   rotora[index % len(_lowerCamelCase)]

																					# rotor rb --------------------------
																					__UpperCamelCase      :  Dict       =   abc.index(_lowerCamelCase) + rotorposa
																					__UpperCamelCase      :  Any       =   rotora[index % len(_lowerCamelCase)]

																					# rotor rc --------------------------
																					__UpperCamelCase      :  str       =   abc.index(_lowerCamelCase) + rotorposa
																					__UpperCamelCase      :  Union[str, Any]       =   rotora[index % len(_lowerCamelCase)]

																					# reflector --------------------------
																					# this is the reason you don't need another machine to decipher

																					__UpperCamelCase      :  Union[str, Any]       =   reflector[symbol]

																					# 2nd rotors
																					__UpperCamelCase      :  Optional[int]       =   abc[rotora.index(_lowerCamelCase) - rotorposa]
																					__UpperCamelCase      :  Optional[Any]       =   abc[rotora.index(_lowerCamelCase) - rotorposa]
																					__UpperCamelCase      :  str       =   abc[rotora.index(_lowerCamelCase) - rotorposa]

																					# 2nd plugboard
																					if symbol in plugboard:
																												__UpperCamelCase      :  Optional[Any]       =   plugboard[symbol]

																					# moves/resets rotor positions
																					rotorposa += 1
																					if rotorposa >= len(_lowerCamelCase):
																												__UpperCamelCase      :  Any       =   0
																												rotorposa += 1
																					if rotorposa >= len(_lowerCamelCase):
																												__UpperCamelCase      :  Tuple       =   0
																												rotorposa += 1
																					if rotorposa >= len(_lowerCamelCase):
																												__UpperCamelCase      :  List[str]       =   0

        # else:
        #    pass
        #    Error could be also raised
        #    raise ValueError(
        #       'Invalid symbol('+repr(symbol)+')')
														result.append(_lowerCamelCase)

							return "".join(_lowerCamelCase)


if __name__ == "__main__":
		lowercase    :   Optional[Any]						=			'This is my Python script that emulates the Enigma machine from WWII.'
		lowercase    :   int						=			(1, 1, 1)
		lowercase    :   Optional[Any]						=			'pictures'
		lowercase    :   Optional[Any]						=			(rotora, rotora, rotora)
		lowercase    :   Optional[Any]						=			enigma(message, rotor_pos, rotor_sel, pb)

		print('Encrypted message:', en)
		print('Decrypted message:', enigma(en, rotor_pos, rotor_sel, pb))